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A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods

Abstract The problem of missing data, particularly for dichotomous variables, is a common issue in medical research. However, few studies have focused on the imputation methods of dichotomous data and their performance, as well as the applicability of these imputation methods and the factors that ma...

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Autores principales: Yingfeng Ge, Zhiwei Li, Jinxin Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2023-06-01
Colección:Scientific Reports
Acceso en línea:https://doi.org/10.1038/s41598-023-36509-2
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